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A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F18%3A00493250" target="_blank" >RIV/68081731:_____/18:00493250 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216305:26220/18:PU128272

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1155/2018/1868519" target="_blank" >http://dx.doi.org/10.1155/2018/1868519</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1155/2018/1868519" target="_blank" >10.1155/2018/1868519</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression

  • Popis výsledku v původním jazyce

    The assessment of ECG signal quality after compression is an essential part of the compression process. Compression facilitates the signal archiving, speeds up signal transmission, and reduces the energy consumption. Conversely, lossy compression distorts the signals. Therefore, it is necessary to express the compression performance through both compression efficiency and signal quality. This paper provides an overview of objective algorithms for the assessment of both ECG signal quality after compression and compression efficiency. In this area, there is a lack of standardization, and there is no extensive review as such. 40 methods were tested in terms of their suitability for quality assessment. For this purpose, the whole CSE database was used. The tested signals were compressed using an algorithm based on SPIHT with varying efficiency. As a reference, compressed signals were manually assessed by two experts and classified into three quality groups. Owing to the experts' classification, we determined corresponding ranges of selected quality evaluation methods' values. The suitability of the methods for quality assessment was evaluated based on five criteria. For the assessment of ECG signal quality after compression, we recommend using a combination of these methods: PSim SDNN, QS, SNR1, MSE, PRDN1, MAX, STDERR, and WEDD SWT.

  • Název v anglickém jazyce

    A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression

  • Popis výsledku anglicky

    The assessment of ECG signal quality after compression is an essential part of the compression process. Compression facilitates the signal archiving, speeds up signal transmission, and reduces the energy consumption. Conversely, lossy compression distorts the signals. Therefore, it is necessary to express the compression performance through both compression efficiency and signal quality. This paper provides an overview of objective algorithms for the assessment of both ECG signal quality after compression and compression efficiency. In this area, there is a lack of standardization, and there is no extensive review as such. 40 methods were tested in terms of their suitability for quality assessment. For this purpose, the whole CSE database was used. The tested signals were compressed using an algorithm based on SPIHT with varying efficiency. As a reference, compressed signals were manually assessed by two experts and classified into three quality groups. Owing to the experts' classification, we determined corresponding ranges of selected quality evaluation methods' values. The suitability of the methods for quality assessment was evaluated based on five criteria. For the assessment of ECG signal quality after compression, we recommend using a combination of these methods: PSim SDNN, QS, SNR1, MSE, PRDN1, MAX, STDERR, and WEDD SWT.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20601 - Medical engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    BioMed Research International

  • ISSN

    2314-6133

  • e-ISSN

  • Svazek periodika

    2018

  • Číslo periodika v rámci svazku

    JUL

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    26

  • Strana od-do

    1-26

  • Kód UT WoS článku

    000439226000001

  • EID výsledku v databázi Scopus

    2-s2.0-85050985052